| 引用本文: | 程郅策,纪伦,郭宏斌,郝晟,谭忆秋.沥青混合料目标配合比级配优选的灰度模型评价法[J].哈尔滨工业大学学报,2024,56(7):11.DOI:10.11918/202207019 |
| CHENG Zhice,JI Lun,GUO Hongbin,HAO Shen,TAN Yiqiu.Grey model evaluation method for gradation optimization of asphalt mixture gradation[J].Journal of Harbin Institute of Technology,2024,56(7):11.DOI:10.11918/202207019 |
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| 沥青混合料目标配合比级配优选的灰度模型评价法 |
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程郅策1,纪伦1,郭宏斌2,郝晟1,3,谭忆秋1
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(1.哈尔滨工业大学 交通科学与工程学院,哈尔滨 150090;2.吉林省路桥工程(集团)有限公司,长春 130062; 3.天津市政工程设计研究总院有限公司,天津 300392)
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| 摘要: |
| 沥青混合料目标配合比级配组成设计时有多种选择,存在如何获得最优级配的问题,这关乎配合比设计的质量,直接影响铺面质量和路面的服役寿命,为此需要一种科学方法进行级配优选。基于优选理论,分析混合料性能指标特征,构建非定量指标、常规定量指标及路用性能指标3层次优选指标体系；设计3组典型级配,开展典型性能试验和分析,得到各评价指标值；采用德尔斐专家调查法进行隶属度、盲度分析和总体认识度指标赋权；采用灰度模型理论,对评价指标进行归一化处理,对各指标进行关联度分析,逐级对灰度模型体系进行综合评价和排序,根据排序结果最终选出最优的目标配合比级配。研究中,提出了灰度模型分析法的指标体系和流程,并讨论了方法中分辨系数的取值对优选结果的影响。结果表明:该方法可系统全面分析级配组成对应的性能指标体系,可筛选出符合路用性能指标的最优特征,可为沥青混合料目标配合比设计的级配优选提供一种有效技术方法。 |
| 关键词: 沥青混合料 目标配合比 级配优选 灰度模型 关联度 |
| DOI：10.11918/202207019 |
| 分类号:U415 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(U20A20315)；国家重点研发计划(2016YFE0202400) |
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| Grey model evaluation method for gradation optimization of asphalt mixture gradation |
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CHENG Zhice1,JI Lun1,GUO Hongbin2,HAO Shen1,3,TAN Yiqiu1
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(1.School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China; 2.Jilin Road and Bridge Engineering (Group) Co., Ltd., Changchun 130062, China; 3.Tianjin Municipal Engineering Design & Research Institute, Tianjin 300392, China)
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| Abstract: |
| There are multiple choices in the design of the target mix proportion and gradation composition of asphalt mixtures, and there is a problem of how to obtain the optimal gradation, which is related to the quality of mix proportion design and directly affects the pavement quality and service life of the pavement. Therefore, a scientific method is needed for gradation optimization. Based on the optimization theory, analyze the characteristics of mixed material performance indicators, and construct a three-level optimization index system consisting of non quantitative indicators, conventional quantitative indicators, and road performance indicators. Design three sets of typical gradation, conduct typical performance tests and analysis, and obtain the values of each evaluation index. Using Delphi expert survey method for membership degree, blind degree analysis, and overall understanding index weighting. Using grayscale model theory, the evaluation indicators are normalized, and the correlation degree of each indicator is analyzed. The grayscale model system is comprehensively evaluated and ranked step by step, and the optimal target mix ratio grading is ultimately selected based on the ranking results. In the study, the indicator system and process of the grayscale model analysis method were proposed, and the influence of the resolution coefficient values in the method on the optimization results was discussed. Research has shown that this method can systematically and comprehensively analyze the performance index system corresponding to the gradation composition, screen out the optimal characteristics that meet the road performance indicators, and provide an effective technical approach for the gradation optimization of asphalt mixture target mix design. |
| Key words: asphalt mixture target mix proportion gradation optimization gray model relevancy |
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